Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 62 (from 62) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:02:01-B*57:03:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 2  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.3986143
 3  B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 1.0700234
 4  A*02:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 5  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 6  A*24:02-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 7  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 8  A*68:01:02-B*39:08-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 9  B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 10  B*39:02-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 11  A*24:02-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 12  A*68:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4274234
 13  A*01:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 14  A*02:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 15  A*02:06-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 16  A*24:02-B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 17  A*68:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 18  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 19  B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 20  B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 21  A*02:22-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.27341,463
 22  A*02:06-B*39:08-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 23  A*31:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 24  A*68:01-B*35:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 25  A*68:01-B*35:12-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 26  A*68:05-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 27  A*02:06:01-B*35:01:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 28  A*31:01-B*07:02-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.2165339
 29  A*02:06-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  USA NMDP Hawaiian or other Pacific Islander 0.211111,499
 30  A*68:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.15691,463
 31  A*24:02:01-B*07:05:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 32  A*02:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10781,463
 33  A*24:02-B*39:06-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09501,999
 34  A*11:01-B*40:06-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*20:01  Sri Lanka Colombo 0.0700714
 35  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 36  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 37  A*31:01-B*39:03-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 38  A*11:01-B*07:02-C*07:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04401,772
 39  A*01:01-B*51:01-C*07:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 40  A*24:03-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03801,463
 41  A*02:01-B*39:11-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03651,463
 42  A*24:14-B*39:08-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 43  A*03:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03271,463
 44  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 45  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 46  A*02:28-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 47  A*26:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 48  A*31:01-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 49  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 50  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 51  A*26:01:01-B*39:01:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 52  A*02:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.02301,999
 53  A*01:01-B*07:02-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.013111,446
 54  A*02:01-B*39:13-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 55  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 56  A*02:11-B*39:13-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 57  A*25:01-B*39:01-C*07:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 58  A*24:02-B*07:06-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.008711,446
 59  A*02:05-B*15:08-C*07:02-DRB1*08:02-DQB1*04:02  India North UCBB 0.00855,849
 60  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  Poland BMR 0.006423,595
 61  A*02:131-B*07:06-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 62  A*03:01-B*07:02-C*07:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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